# Senior AI Engineer at Capco

> United Kingdom · Senior · ML / AI · open. Source: https://alderhq.app/jobs/greenhouse%3Acapco%3A7908903 (read 2026-11-06).

## Facts (observed)

- Company: [Capco](https://alderhq.app/companies/capco)
- Location text: UK - London; UK - London
- Where it can be done from (inferred): United Kingdom (evidence: "Location: UK - London; UK - London")
- Posted: 2026-07-21 (108 days ago)
- First seen by alder: 2026-11-03 · last verified: 2026-11-04
- Reposted: 0 times · edited: 0 times
- Apply on the employer's site: https://job-boards.greenhouse.io/capco/jobs/7908903
- Skills listed (inferred): Python, AWS, GCP, Azure, LLMs, Distributed systems

## Pay and sponsorship

- Posted pay: not posted
- Market band for similar posted roles (London, n 6): p25 £89k, median £100k, p75 £111k

## Description (the employer's text)

Senior AI Engineer

Location: London (Hybrid) \| Practice Area: Technology & Engineering \| Type: Permanent

Empower the next frontier of AI with Capco. Shape, build, and deliver future-ready generative systems.

### The Role

We’re looking for a Senior AI Engineer (Senior/Principal Consultant) to join our Technology Delivery team. In this role, you’ll combine deep expertise in AI/ML engineering and software development to design, build, and deploy advanced generative AI and agentic systems for leading financial services clients. You’ll work hands-on across the full AI engineering lifecycle, from architecting intelligent multi-agent systems to deploying scalable production-grade AI applications within enterprise environments. As a senior consultant, you’ll also collaborate closely with multidisciplinary teams and client stakeholders to drive innovation, accelerate adoption, and deliver measurable business impact.

### What You’ll Do

- Architect and develop autonomous AI systems leveraging multi-modal large language models across text, image, audio, and video
- Design and implement agentic workflows using prompt engineering, Retrieval-Augmented Generation (RAG), APIs, and enterprise data integrations
- Fine-tune, optimize, and deploy large language and multi-modal models with a focus on scalability, reliability, and low-latency performance
- Build scalable MLOps pipelines and cloud-native AI applications to support secure, production-grade deployments
- Collaborate with clients and cross-functional teams to shape AI engineering strategy and accelerate GenAI adoption across complex environments
### What We’re Looking For

- Bachelor’s degree or higher in Computer Science, Artificial Intelligence, Engineering, or a related STEM discipline
- Proven hands-on experience deploying LLMs and multi-modal AI models within enterprise or large-scale production environments
- Strong software engineering expertise in Python, including backend development, API design, and distributed systems
- Solid understanding of scalable MLOps, observability, CI/CD practices, and cloud-native AI deployment architectures
- Excellent communication, stakeholder management, and problem-solving skills within agile delivery environments
### Bonus Points For

- Experience building AI agent frameworks or autonomous orchestration platforms
- Knowledge of vector databases, semantic search, and advanced RAG architectures
- Experience with cloud platforms such as AWS, Azure, or GCP for AI workloads
- Familiarity with financial services, banking, or regulated enterprise environments
- Exposure to AI governance, model monitoring, and responsible AI practices
### Why Join Capco

- Deliver high-impact technology solutions for Tier 1 financial institutions
- Work in a collaborative, flat, and entrepreneurial consulting culture
- Access continuous learning, training, and industry certifications
- Be part of a team shaping the future of digital financial services
- Help shape the future of digital transformation across FS & Energy
Benefits

We offer a competitive, people-first benefits package designed to support every aspect of your life:

- Core Benefits: Discretionary bonus, competitive pension, health insurance, life insurance and critical illness cover.
- Mental Health: Easy access to CareFirst, Unmind, Aviva consultations, and in-house first aiders.
- Family-Friendly: Maternity, adoption, shared parental leave, plus paid leave for sickness, pregnancy loss, fertility treatment, menopause, and bereavement.
- Family Care: 8 complimentary backup care sessions for emergency childcare or elder care.
- Holiday Flexibility: 5 weeks of annual leave with the option to buy or sell holiday days based on your needs.
- Continuous Learning: Your growth, your way - minimum 40 Hours of Training Annually. Take your pick; workshops, certifications, e-learning. Also, Business Coach assigned from Day One: Get one-on-one guidance to fast-track your goals and accelerate your development.
- Healthcare Access: Convenient online GP services.
- Extra Perks: Gympass (Wellhub), travel insurance, Tastecard, season ticket loans, Cycle to Work, and dental insurance.

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Data: alder (https://alderhq.app). Cite https://alderhq.app/jobs/greenhouse%3Acapco%3A7908903 and the date you read it. Observed facts come from the employer's own listing; location reach, level, family and skills are inferences.